Triple
T1644993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Querétaro |
E35559
|
entity |
| Predicate | hasISO3166-2Code |
P208
|
FINISHED |
| Object | MX-QUE |
E169484
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: MX-QUE | Statement: [Querétaro, hasISO3166-2Code, MX-QUE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MX-QUE Context triple: [Querétaro, hasISO3166-2Code, MX-QUE]
-
A.
MXP
MXP is the IATA airport code for Milan Malpensa Airport, the largest international airport serving the Milan metropolitan area in Italy.
-
B.
MX-JAL
chosen
MX-JAL is the ISO 3166-2 subdivision code assigned to the Mexican state of Jalisco.
-
C.
El Max
El Max is a coastal district of Alexandria in northern Egypt, known for its fishing community, beaches, and proximity to the Mediterranean Sea.
-
D.
Ma$e
Ma$e is an American rapper and songwriter known for his late-1990s success with Bad Boy Records and his smooth, laid-back delivery on hits like "Feel So Good."
-
E.
MEX
MEX is the IATA airport code for Mexico City International Airport, the main international gateway serving Mexico City and one of the busiest airports in Latin America.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a41e5a08190b97dd1c0b12c662a |
completed | March 5, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad60a26350819087e7a87b52561143 |
completed | March 8, 2026, 11:42 a.m. |
Created at: March 4, 2026, 7:28 p.m.